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chinese-bert-wwm-ext-text-classification – AI Model by CeroShrijver | AlphaNeural AI
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CeroShrijver
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chinese-bert-wwm-ext-text-classification
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transformers
pytorch
bert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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chinese-bert-wwm-ext-text-classification
This model is a fine-tuned version of
hfl/chinese-bert-wwm-ext
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7035
Accuracy: 0.7813
Test Accuracy: 0.7887
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.4871
1.0
1009
0.5111
0.7800
0.3588
2.0
2018
0.5492
0.7831
0.3078
3.0
3027
0.7035
0.7813
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3
